Evidence map›Paper›PMID 23378596›Full record

ReviewCold Spring Harbor perspectives in medicine2013

Cystic fibrosis transmembrane conductance regulator (ABCC7) structure.

John F Hunt, Chi Wang, Robert C Ford

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Specific stabilization of CFTR by phosphatidylserine.Biochimica et biophysica acta. Biomembranes · 2017
    Article
  11. Molecular modelling and molecular dynamics of CFTR.Cellular and molecular life sciences : CMLS · 2017
    Review
  12. Architecture and functional properties of the CFTR channel pore.Cellular and molecular life sciences : CMLS · 2017
    Review
  13. Article
  14. Positioning of extracellular loop 1 affects pore gating of the cystic fibrosis transmembrane conductance regulator.American journal of physiology. Lung cellular and molecular physiology · 2016
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

John F HuntDepartment of Biological Sciences, Columbia University, New York, NY 10027, USA. jfhunt@biology.columbia.edu
Chi Wang
Robert C Ford

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural studies of the cystic fibrosis transmembrane conductance regulator (CFTR) are reviewed. Like many membrane proteins, full-length CFTR has proven to be difficult to express and purify, hence much of the structural data available is for the more tractable, independently expressed soluble domains. Therefore, this chapter covers structural data for individual CFTR domains in addition to the sparser data available for the full-length protein. To set the context for these studies, we will start by reviewing structural information on model proteins from the ATP-binding cassette (ABC) transporter superfamily, to which CFTR belongs.

Indexed as

ATP-Binding Cassette TransportersCarrier ProteinsCrystallizationCystic Fibrosis Transmembrane Conductance RegulatorGTP-Binding ProteinsHumansIntracellular Signaling Peptides and ProteinsMembrane ProteinsMutationProtein FoldingATP-Binding Cassette TransportersCarrier ProteinsCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorGTP-Binding ProteinsIntracellular Signaling Peptides and ProteinsMembrane ProteinsNUBP1 protein, human

Identifiers

PMID23378596
PMCPMC3552343

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.